RL for Combinatorial Optimization
Combinatorial optimization is ubiquitous and widely used in real-world applications. However, lots of combinatorial optimization problems are hard to be solved with traditional methods due to the NP-hardness if you focus on the worst-case performance.…
Reinforcement Learning for Logistics
In this project, we try to leverage AI technology, particularly, reinforcement learning, to improve the efficiency of the two applications in industry.
Privacy-preserving Deep Learning
Large machine learning model can memorize the training data, which poses privacy risk. To preserve privacy, it requires to control the data access and measure the privacy loss. Differential privacy (DP) is widely recognized as…
Precision Medicine
Medical forecasting is a fundamental ingredient of intelligent health. We study a full life-circle forecasting task, including the prevention, diagnosis, monitoring, and treatment. Our research covers both epidemic diseases and chronic diseases. We leverage the…
AI for Finance
Financial industry has adopted statistical analysis for different tasks for a long time and have accumulated tremendous valuable data. These conditions leave a big potential of AI technologies to empower financial industry. In particular, we…
Physics-based Sustainability
Sustainability involves a few systematic and scientific challenges, including energy crisis, global warming, air pollution and other thorny issues. Most of them essentially lies in over-reliance on fossil fuels and accompanied high carbon emissions. Henceforth,…
Optimization in Deep Learning
Understand the dynamics of the optimizers in deep learning and its convergence rate and implicit regularization. One important aspect to open the black-box of deep neural networks is to understand the dynamics of the optimization…
Neural Machine Translation
We are working on neural machine translation, using deep neural networks for machine translation. We achieved human parity (opens in new tab) in translating news from Chinese to English. Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu,…
Ab Initio Aperiodic Molecular Dynamics
Molecular dynamics is a task for understanding and predicting physicochemical property of real-world substances from the fundamental rule of physics. It provides solution from the first principle for various impactful problems, including developing new materials…
Microbiome-based Diagnostics and Therapeutics
Human microbiota are ecological communities of microbes colonized on and inside human bodies. The diverse microbes shape our body functions and are associated with a vast majority of human diseases. Many efforts have been made…